[SPARK-50127] Implement Avro encoding for MapState and PrefixKeyScanStateEncoder #22
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ericm-db
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* valuestatettl * mapstate, valuestate ttl works * timers * renaming to suffix key * cleaning up
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Jul 18, 2025
…pressions in `buildAggExprList` ### What changes were proposed in this pull request? Trim aliases before matching Sort/Having/Filter expressions with semantically equal expression from the Aggregate below in `buildAggExprList` ### Why are the changes needed? For a query like: ``` SELECT course, year, GROUPING(course) FROM courseSales GROUP BY CUBE(course, year) ORDER BY GROUPING(course) ``` Plan after `ResolveReferences` and before `ResolveAggregateFunctions` looks like: ``` !Sort [cast((shiftright(tempresolvedcolumn(spark_grouping_id#18L, spark_grouping_id, false), 1) & 1) as tinyint) AS grouping(course)#22 ASC NULLS FIRST], true +- Aggregate [course#19, year#20, spark_grouping_id#18L], [course#19, year#20, cast((shiftright(spark_grouping_id#18L, 1) & 1) as tinyint) AS grouping(course)#21 AS grouping(course)#15] .... ``` Because aggregate list has `Alias(Alias(cast((shiftright(spark_grouping_id#18L, 1) & 1) as tinyint))` expression from `SortOrder` won't get matched as semantically equal and it will result in adding an unnecessary `Project`. By stripping inner aliases from aggregate list (that are going to get removed anyways in `CleanupAliases`) we can match `SortOrder` expression and resolve it as `grouping(course)#15` ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Existing tests ### Was this patch authored or co-authored using generative AI tooling? No Closes apache#51339 from mihailotim-db/mihailotim-db/fix_inner_aliases_semi_structured. Authored-by: Mihailo Timotic <[email protected]> Signed-off-by: Wenchen Fan <[email protected]>
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What changes were proposed in this pull request?
Follow-up to apache#48401. This PR enables Avro encoding for MapState and the PrefixKeyScanStateEncoder
Why are the changes needed?
UnsafeRow is an inherently unstable format that makes no guarantees of being backwards-compatible. Therefore, if the format changes between Spark releases, this could cause StateStore corruptions. Avro is more stable, and inherently enables schema evolution.
Does this PR introduce any user-facing change?
No
How was this patch tested?
Amended and added to unit tests
Was this patch authored or co-authored using generative AI tooling?
No